Data Architect

Job Type
Permanent
Salary
Depends on Experiences
Japanese Level
None
English Level
Advanced (TOEIC 860)
Start Date
ASAP
Location
Other

Description

Analyze data sources from multiple on premise systems and to design and develop solution framework for easy provisioning of this data to an MS Azure based platform.

【Main Responsibilities】
- Analyze Map existing system data model to business contexts and related services.
- Design and develop solutions to extract data from multiple backend systems and store, transform and provision the same on a MS Azure based platform using Azure Services and/or other multi-cloud platforms.
- Evaluate and design solutions for virtualization/aggregation/extraction/provisioning of existing system data.
- Provide support to engineering team on understanding business entities and corresponding data structures.
- Support Business Partner project leadership in delivering solutions within time, budget and acceptable quality.
- Analyze and research new technologies and infrastructures necessary to provide efficient and cost effective solutions around data management and exchange between on premise and cloud storage.

 

 

【会社概要 | Company Details】
Large global automobile manufacturer based in Germany. This company is Japan's leading brand, known for its high customer satisfaction performance.
ドイツに本社を置く外資系自動車メーカーのグループ企業です。高い顧客満足度の実績で知られている、日本屈指のブランドです。

【就業時間 | Working Hours】
9:00‐ 18:00(Mon‐ Fri)

【休日休暇 | Holidays】
完全週休2日制(土日祝休み)、年末年始、年次有給休暇
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays

【待遇・福利厚生 | Services / Benefits】

各種社会保険完備(厚生年金保険、健康保険、労災保険、雇用保険)、 屋内原則禁煙(屋外に喫煙所あり)、 通勤交通費支給等

Social insurance, Transportation Fee, No smoking indoors allowed (Designated smoking area), etc.

Required Skills

- Related experience
- Expertise in data modeling and design across multiple data storage technologies, both structured and semi-structured.
- Experience in designing database solutions, including those hosted on cloud, involving system integration aspects.
- Collect and process data streams at scale, including stream-processing and batch ETL
- Experience with traditional data warehouse systems and concepts
- Experience in designing solutions using: Relational and non-relational (No-SQL) databases Enterprise ETL and Data Virtualization tools. Operating System level scripting languages.
- Data technologies including SQL, Hive, Map/Reduce

Preferred Skills

- Knowledge of Data Virtualization/Aggregation technologies would be a plus